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654 results for “deformable”
Text-fig. 6. a. Vertical section showing part of body-chamber of a Cenoceras in the top of the Main Cenoceras Bed associated with attached oysters below and stringers of crinoid debris below and stretching laterally. Coin 23 mm in diameter. b. Complete lateral half of conch showing intact and elastically deformed septa on which rests crinoid debris that spreads across the exposed septa and onto the adjacent substrate. Conch approximately 180 mm in diameter. c. Individual showing dispersed crinoid and molluscan debris within body-chamber and septa in the crushed inner whorls that have taken a sparite cement prior to, and after having undergone brittle deformation. 160 mm in diameter. d. Vertically embedded specimen showing the loss of septa in the inner whorls that are infilled with matrix mottled by bioturbation. Tape measure provides scale. in 'Cenoceras Islands' In The Blue Lias Formation (Lower Jurassic) Of West Somerset, Uk: Nautilid Dominance And Influence On Benthic Faunas
Text-fig. 6. a. Vertical section showing part of body-chamber of a Cenoceras in the top of the Main Cenoceras Bed associated with attached oysters below and stringers of crinoid debris below and stretching laterally. Coin 23 mm in diameter. b. Complete lateral half of conch showing intact and elastically deformed septa on which rests crinoid debris that spreads across the exposed septa and onto the adjacent substrate. Conch approximately 180 mm in diameter. c. Individual showing dispersed crinoid and molluscan debris within body-chamber and septa in the crushed inner whorls that have taken a sparite cement prior to, and after having undergone brittle deformation. 160 mm in diameter. d. Vertically embedded specimen showing the loss of septa in the inner whorls that are infilled with matrix mottled by bioturbation. Tape measure provides scale.
Dataset for Adaptive Light-Sheet Fluorescence Microscopy with a Deformable Mirror for Video-Rate Volumetric Imaging
<p>1. Underlying data of figures in the paper </p> <p>2. Background images used to process the experimental data</p> <p>3. image stack of 250 nm beads</p> <p>4. image stack of sunflower pollen grains</p> <p>5. image stacks and videos of Fluo-4 labelled cells</p> <p>6. image stacks and videos of CMO-labelled cells</p> <p>The data is organised according to the figures they are related to in the following publication:</p> <p> </p> <p><a href="https://aip.scitation.org/author/Hong%2C+Wenzhi">Wenzhi Hong</a><em>, </em><a href="https://aip.scitation.org/author/Wright%2C+Terry">Terry Wright</a><em>, </em><a href="https://aip.scitation.org/author/Sparks%2C+Hugh">Hugh Sparks</a><em>, </em><a href="https://aip.scitation.org/author/Dvinskikh%2C+Liuba">Liuba Dvinskikh</a><em>, </em><a href="https://aip.scitation.org/author/MacLeod%2C+Ken">Ken MacLeod</a><em>, </em><a href="https://aip.scitation.org/author/Paterson%2C+Carl">Carl Paterson</a><em>, and </em><a href="https://aip.scitation.org/author/Dunsby%2C+Chris">Chris Dunsby</a> </p> <p>, "Adaptive light-sheet fluorescence microscopy with a deformable mirror for video-rate volumetric imaging", Appl. Phys. Lett. 121, 193703 (2022) <a href="https://doi.org/10.1063/5.0125946">https://doi.org/10.1063/5.0125946</a></p>
Ray Tracing-Based Delay Model for Compensating Gravitational Deformations of VLBI Radio Telescopes (Data Set)
<p>The precision and the reliability of very long baseline interferometry (VLBI) depend on several factors. Apart from fabrication discrepancies or meteorological effects, gravity-induced deformations of the receiving unit of VLBI radio telescopes are identified as a crucial error source biasing VLBI products and obtained results such as the scale of a realized global geodetic reference frame. Gravity-induced deformations are systematical errors and yield signal path variations (SPVs). In 1988, Clark and Thomsen derived a VLBI delay model, which was adopted by the International VLBI Service for Geodesy and Astrometry (IVS) to reduce these systematic errors. However, the model parametrizes the SPV by a linear substitute function and considers only deformations acting rotationally symmetrically. The aim of this investigation is to derive the signal path variations of a legacy radio telescope and a modern broadband VGOS-specified radio telescope and to study the effect of nonrotationally symmetric deformation patterns. For that purpose, SPVs are obtained from a nonlinear spatial ray tracing approach. For the first time, a tilt and a displacement of the subreflector perpendicular to the optical axis of the feed unit is taken into account. The results prove the commonly used VLBI delay model as a suitable first-order delay model to reduce gravity-induced deformations.</p>
Data for: Analytical transfer function for volcano deformation with T-dependent viscoelasticity
<p>Rocks can modulate the triggering, duration, and style of volcanic eruptions. When heated, the host rocks surrounding a magmatic reservoir is typically considered as a viscoelastic material. The viscoelastic rheology (viscosity especially) is temperature dependent; however, the dynamics and consequence on surface deformation resulting from heterogeneous crustal temperature and viscosity around magmatic reservoirs have not been explored systematically. </p> <p>This dataset incorporates the parameters and numerical codes used for generating results in the manuscript 'History-dependent volcanic ground deformation from broad-spectrum viscoelastic rheology around magma reservoirs' submitted to GRL and authord by Yang Liao, Leif Karlstrom, and Brittany Erickson. The dataset consists of a README file detailing the data structure, a matlab .mat file that contains the parameters assumed in the magma chamber model, and several matlab program .m files that can be applied to the .mat file to generate results presented in the manuscript. </p>
Kalman filter-based integration of GNSS and InSAR observations for local non-linear strong deformations
<p>The published database is related to the calculations presented in the paper "Kalman filter-based integration of GNSS and InSAR observations for local non-linear strong deformations". The main catalogue contains three folders named as GNSS, Campaign, and DInSAR.</p> <p>In the GNSS folder, the time series of XYZ coordinates and uncertainties estimated in the post-processing scenario for RES1, PI02, PI03, PI04, PI05, and PI16 permanent stations are provided. The GNSS calculations were performed at the Wrocław University of Environmental and Life Sciences in the ITRF2014 reference frame.</p> <p>The Campaign folder contains the results of epoch-based GNSS measurements and was used in the article as a verification data source. The Campaign results, prepared by the Military University of Technology, were used in the quality analyses. In order to co-locate the permanent PI02, PI04, PI05, and PI16 receivers with the nearest campaign points, a cross-reference was performed. The epoch-based time series of XYZ coordinates and uncertainties are provided in the ITRF2014 reference frame.</p> <p>The DInSAR interferograms were prepared at the Wrocław University of Environmental and Life Sciences and the results were stored in two directories named as Ascending and Descending. To perform a point-based unification of DInSAR and GNSS techniques, it was necessary to acquire the data from pixels intersected by the GNSS permanent station's locations. The DInSAR time series contain displacements (DSP), incidence angles (INC_ANG), heading angles (HEAD_ANG), and coherence (COH) data.</p>
Data for: An invasive ant increases deformed wing virus loads in honey bees
<p>The majority of invasive species are best known for their effects as predators. However, many introduced predators may also be substantial reservoirs for pathogens. Honey bee-associated viruses are found in various arthropod species including invasive ants. We examined how the globally invasive Argentine ant (<em>Linepithema humile</em>), which can reach high densities and infest beehives, is associated with pathogen dynamics in honey bees. Viral loads of Deformed wing virus (DWV), which has been linked to millions of beehive deaths around the globe, and black queen cell virus significantly increased in bees when invasive ants were present. Microsporidian and trypanosomatid infections, which are more bee-specific, were not affected by ant invasion. The bee virome in autumn revealed that DWV was the predominant virus with the highest infection levels and that no ant-associated viruses were infecting bees. Viral spillback from ants could increase infections in bees. In addition, ant attacks could pose a significant stressor to bee colonies that may affect virus susceptibility. These viral dynamics are a hidden effects of ant pests, which could have a significant impact on disease emergence in an economically important pollinator. Our study contributes to unravel a perhaps overlooked effect of species invasions: changes in pathogen dynamics.</p>
Data and scripts from "Unsupervised learning for structure detection in plastically deformed crystals"
<p>This documents contains the scripts and dataset used for the paper "Unsupervised learning for structure detection in plastically deformed crystals".</p> <p> </p> <p>More precisely it contains 4 folders :</p> <p><br> DumpForFigures : subfolder containing the atomic positions in .dump format (see lammps documentation) used for the article figures.</p> <p>DumpForTraining : subfolder containing the atomic position in .dump format (see lammps documentation) used for training the autoencoder.</p> <p>ScriptsToDetectStructuresFromDump : subfolder containing the script sused to detect the substructures of the system by combining autoencoder and clustering methods. This folder contains a readme with the details of the contents.</p> <p>ScriptToGenerateDump : subfolder containing the scripts used to generate the atomic data with molecular dynamics. These data are then used to train the autoencoder. This folder contains a readme with the details of the contents.</p> <p>REQUIREMENTS :</p> <p> </p> <p>Lammps</p> <p>Python3 with packages :</p> <p>-numpy</p> <p>-matplotlib</p> <p>-pyscal</p> <p>-sci-kit learn</p> <p>-pytorch</p> <p>-glob</p> <p> </p> <p> </p> <p> </p>
Data sets for heat generation and associated contact temperature during an oblique impact of a deformable particle and a rigid substrate
<p>This dataset contains essential data from the Finite Element Method model predicting heat generation due to friction and plastic deformation during the oblique impact of a deformable particle and a rigid substrate. Part of this data was processed and published in a journal article (<a href="https://doi.org/10.1016/j.powtec.2023.118481">https://doi.org/10.1016/j.powtec.2023.118481</a>). The following is the description of the data files and the associated Figure in the original paper.</p> <p>‘Heat_Elast_Vt.xlsx’ and ‘Temp_Elast_Vt.xlsx’ data for the evolution of heat and nodal contact temperature, respectively, for varying tangential velocity. Data was used in Figs. 7a and 7b in the associated paper</p> <p>‘Heat_Vt.xlsx’ and Heat_Vn.xlsx’ data for the evolution of heat for various tangential velocities and normal velocities, respectively. Data was used in Figs. 8a and 8b in the associated paper.</p> <p>‘Heat_YM.xlsx’ and ‘Temp_YM.xlsx’ data for the evolution of heat and nodal contact temperatures, respectively, for varying Young’s moduli. Data was used in Figs. 9 and 10 in the associated paper.</p> <p>‘Heat_YS.xlsx’ and ‘Temp_YS.xlsx’ data for the evolution of heat and nodal contact temperatures for varying yield strengths. Data was used in Figs. 11 and 12 in the associated paper.</p> <p>‘Heat_Den.xlsx’ and ‘Temp_Den.xlsx’ data for heat and nodal contact temperature evolution, respectively, for varying yield strengths. Data was used in Figs. 13 and 14 in the associated paper.</p> <p> ‘Temp_TC.xlsx’ data for the evolution of nodal contact temperatures for varying thermal conductivities. Data was used in Fig. 15 in the associated paper.</p> <p>‘Temp_HC.xlsx’ data for the evolution of nodal contact temperatures for varying specific heat capacities. Data was used in Fig. 16 in the associated paper.</p>
Deformation simulation results of Capriccio method coupled systems for conducting comparative one- and multidimensional studies on the coupling of the finite element method with particle-based techniques
<p>readme_3Dresults.txt</p> <p><br> <strong>Description</strong>:</p> <p>This readme explains the content and path structure of the results obtained from a<br> deformation test conducted on slightly different MD-FE coupled systems performing the<br> Capriccio method in a three-dimensional space within the associated project thesis [1],<br> published on the following dataset: <a href="https://doi.org/10.5281/zenodo.7924367">https://doi.org/10.5281/zenodo.7924367</a></p> <p>Furthermore, input files and parameters as well as potential tables required to reproduce<br> the obtained data are provided as well.</p> <p>The molecular dynamics (MD) part is executed in LAMMPS and the finite element (FE) method<br> part by a MATLAB script as described in Section 4.1 of [1]. The whole setup of the 3D<br> models is elaborated in Section 4.2 of [1]. A discussion of some results is given in<br> Chapter 6 of [1] in the context of assessing their comparability with the corresponding 1D<br> model.</p> <p><br> <strong>Context</strong>:</p> <p>[1] L. Laubert, "Establishing a framework for conducting comparative one- and<br> multidimensional studies on the coupling of the finite element method with<br> particle-based techniques", Project Thesis, Friedrich-Alexander-Universität<br> Erlangen-Nürnberg (FAU), 2023.</p> <p><br> <strong>Contact</strong>:</p> <p>Lukas Laubert<br> Institute of Applied Mechanics<br> Friedrich-Alexander-Universiät Erlangen-Nürnberg<br> Egerlandstraße 5<br> 91058 Erlangen</p> <p><br> <strong>License</strong>:</p> <p>Creative Commons Attribution Non Commercial 4.0 International</p> <p><br> <strong>Path structure and files</strong>:</p> <p>- The ZIP compressed files each contain a folder containing all simulation files as well as<br> postprocessing variables:<br> * /FE_data/ contains all output files after each FE simulation in each iteration step<br> * /MD_data/ contains all output files after each MD simulation in each iteration step<br> * /input_files/ contains the input FE model "cgps_dpd_c_1_2000.inp", the MD particle<br> configurations "cgps_dpd_c_1_2000.data", the AP particle coordinates <br> "cgps_dpd_c_1_2000.ac" as well as further Abaqus CAE FE files that<br> can be used to adapt the present FE model<br> * /input_parameters/ contains the parameter dataset; "Capriccio.prm" is the main parameter<br> dataset, whose adaptations lead to similar adjustments in the other parameter files<br> * "Capriccio_FEMD_main_meggie_WZ.sh" is a shell script for executing simulations<br> * "job.out" is an output protocol that documents the progress of the simulations<br> * "Job.err" is an error protocol that documents detected errors during the simulations<br> * "log.lammps" logs MD parameter sets<br> * "meta.info" provides version information of used softwares among few other information<br> * "next_job.info" documents the next load step and iteration step that is to be executed<br> when simulation jobs are restarted on the used computation cluser<br> * **_workspace_vars.mat comprises a set of postprocessing variables obtained by executing a<br> postprocessing script provided by Capriccio group</p> <p>- "md_dpd_main-CBpot-writeobs-sandw.in" is an input script that further defines and loads<br> MD simulation parameter</p> <p>- ***_table are potential tables applied during the MD simulations<br> * "Angle_table" lists the angle bending potential<br> * "Bond_table" lists the bond potentials<br> * "Nonbond_table" lists the non-bonded interaction potential</p>
Contribution of the Altyn Tagh Fault to tectonic deformation within the Qilian Shan, northern Tibetan Plateau: Implications from the electrical anisotropic structure
<p>The dataset contains five folders. They are ‘MT’, ‘aniinv’, ‘isoinv’, ‘sensitivity_test’, ‘syn_mod_test’, respectively. The ‘MT’ folder includes the observed impedances for each MT site. In the ‘aniinv’ folder, there are three sub-folders include ‘azimu_ani_inv’, ‘gener_ani_inv’, ‘verti_ani_inv’, indicating the inversion results for azimuthal, general, and vertical anisotropic inversions, respectively. The ‘isoinv’ folder contains results for isotropic inversion. The ‘sensitivity_test’ folder contains modified models and their responses for sensitivity tests of anomalies. The ‘syn_mod_test’ folder contains a synthetic model constructed according the final model, the responses of this model, and the recovering for this model. In each folder, there is a ‘readme.txt’ file describing the details of individual files.</p> <p>The 'Software Availability.txt' file illustrates that the software used in 3D anisotropic inversion is available to academic community.</p>
Suppression of Bend deformation in Active Nematics by Magnetic Field
<p>In the presence of an external magnetic field (1.8T) applied horizontally along the shear-aligned direction of the active nematic within a cuboidal channel, flows perpendicular to the field are hindered (time<6 min). This suppression arises because the active stress that distorts the nematic alignment encounters resistance from nematic elasticity and the externally applied magnetic field. When the magnetic field is switched off (time>6 min) (indicated by spikes in PIV vector magnitude due to sample holder movement), the nematic undergoes a bend deformation, initiating flows perpendicular to the field direction. This observation suggests that the magnetic field's influence lies in aligning the liquid crystal rather than disrupting the active stress through interference with motor proteins.</p>
Lung CT Deformable Image Registration Validation Dataset
<p>This dataset contains 30 different cases of CT image pairs, with a high number of vessel bifurcation landmark pairs identified in each case. These landmarks can be used for deformable image registration (DIR) algorithm validation and quality assurance. Images are obtained from several publicly available image repositories as well as clinical scans from Barnes Jewish Hospital.</p> <p> </p> <p>Guidelines for loading and visualizing data can be found on our Github at </p> <p>https://github.com/deshanyang/Lung-DIR-QA</p> <p> </p> <p>If you use our dataset, please cite the paper at </p> <p>https://doi.org/10.1002/mp.17026</p>
GEOLAB - Transnational Access project LIWEMAT – Deformation characterisation of LIghtWEight foundation MATerials
<p>Proper use of lightweight materials as construction material for various types of infrastructure brings a lot of advantages to European critical infrastructure related to weight reduction and prevention of progressive heating or freezing of its structural elements.</p> <p>Large-scale Triaxial Apparatus was used to perform the loading tests, which enables the characterization of materials at very small strain ranges with a very high accuracy level of load-displacement control. The apparatus has rigid confining aluminum frames with a height of 3 cm and cross-section of 40 x 40 cm, enabling prismatic specimens with a height of up to 80 cm to be tested.</p> <p>This research aims to determine the characteristics of expanded clay and foamed glass aggregates through laboratory testing, performing cyclic loading for the stiffness and damping evaluation, which would be beneficial parameters for numerical simulations.</p> <p>Testing material</p> <p>The foam glass aggregate has a homogeneous microstructure with approximate uniform shape and sizes. Foam glass aggregate is considered one of the best solid isolation materials with several unique properties. It can be widely used in many applications such as basement walls, foundations, floors and roofs, terrace and garden covers, rooftops, and parking areas.</p> <p>The expanded clay aggregate is round shape with different sizes with small, air-filled cavities, with dark brown, reddish, brown-red or gray colors, which depends on the chemical composition of the expanded clay. The lightweight expanded clay aggregate has bulk density from 250 kg/m<sup>3</sup> to 710 kg/m<sup>3</sup>, mostly dependent on the size of the aggregate.</p> <p> </p>
Signatures of adaptive decreased virulence of deformed wing virus in an isolated population of wild honey bees (Apis mellifera)
<p>Understanding the ecological and evolutionary processes that drive host-pathogen interactions is critical for combating epidemics and conserving species. The <em>Varroa</em> <em>destructor</em> mite and deformed wing virus (DWV) are two synergistic threats to Western honey bee (<em>Apis</em> <em>mellifera</em>) populations across the globe. Distinct honey bee populations have been found to self-sustain despite <em>Varroa</em> infestations, including colonies within the Arnot Forest outside Ithaca, NY, USA. We hypothesized that in these bee populations, DWV has been selected to produce an avirulent infection phenotype, allowing for the persistence of both host and disease-causing agents. To investigate this, we assessed the titer of viruses in bees from the Arnot Forest and managed apiaries, and assessed genomic variation and virulence differences between DWV isolates. Across groups, we found viral abundance was similar, but DWV genotypes were distinct. We also found that infections with isolates from the Arnot Forest resulted in higher survival and lower rates of symptomatic deformed wings, compared to analogous isolates from managed colonies, providing preliminary evidence to support the hypothesis of adaptive decreased viral virulence. Overall, this multi-level investigation of virus genotype and phenotype across different contexts reveals critical insight into global bee health and the ecological and evolutionary processes driving host-pathogen interactions.</p>
Magnetic elastomers as specific soft actuators – predicting particular modes of deformation from selected configurations of magnetizable inclusions
<p>This dataset contains the underlying data and python programs to generate the plots in the manuscript</p> <p><em>L. Fischer and Andreas M. Menzel</em><br>Magnetic elastomers as specific soft actuators – predicting particular modes of deformation from selected configurations of magnetizable inclusions<br>J. Magn. Magn. Mater. <strong>591</strong>, 171695 (2024) (DOI: <a href="https://doi.org/10.1016/j.jmmm.2023.171695" target="_blank" rel="noopener">10.1016/j.jmmm.2023.171695</a>).<br>Part of the special issue "ICMF 2023".</p> <p>arXiv Version: <a href="https://arxiv.org/abs/2310.16833" target="_blank" rel="noopener">arXiv:2310.16833</a>.</p> <p>For more information, please see the included "Readme.txt" in the dataset "Zenodo.zip".</p>
Data for: Analytical transfer function for volcano deformation with T-dependent viscoelasticity
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Signatures of adaptive decreased virulence of deformed wing virus in an isolated population of wild honey bees (Apis mellifera)
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Data from: Host-parasite coevolution promotes innovation through deformations in fitness landscapes
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Data for: An invasive ant increases deformed wing virus loads in honey bees
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Effect of Nd on high temperatures deformation and corrosion behavior of AZE Mg alloy
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